Senior Data Scientist - Credit & Lending
Mercury- Full Time
- Senior (5 to 8 years), Junior (1 to 2 years)
Candidates should possess a strong technical background with 7+ years of experience in a data-focused role, such as product analytics, business analytics, or data science. Prior experience in the Fraud/Risk domain is required, along with hands-on experience in SQL and Python. Expertise in BI tools like Tableau/Sigma/Metabase and exposure to building ML models are also necessary.
The Senior Risk Data Analyst will develop and track metrics to measure and monitor the performance of Sardine’s risk products, conduct in-depth analyses to uncover insights contributing to fraud reduction and higher approval rates, serve as a client-facing partner translating data insights into recommendations, build and experiment with ML models to identify fraudulent patterns, work with engineers on data instrumentation, create and automate self-serve dashboards, collaborate with cross-functional teams to understand business requirements and implement risk mitigation solutions, and ensure alignment with business goals.
Fraud prevention and compliance platform
Sardine.ai focuses on fraud prevention and compliance for banks, retailers, and fintech companies. Its platform offers tools for risk scoring, transaction monitoring, and customer due diligence, helping clients detect fraud and prevent money laundering. What sets Sardine.ai apart is its ability to monitor customer interactions for fraud signals, using data from over 35 providers to generate accurate risk scores. The company's goal is to enhance security and compliance for financial institutions and retailers.